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Kernel principal component analysis of the ear morphology
2017
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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The statistical analysis conducted over the space of ear shapes uses a kernel principal component analysis (KPCA). ...
In the work presented here we show the morphological variations captured by the first two kernel principal components, and also show the acoustic transfer functions of the ears which are computed using ...
Examining the Kernel Principal Components We now describe how the kernel principal components can be used to examine important changes in the ear morphology and their corresponding acoustics. ...
doi:10.1109/icassp.2017.7952202
dblp:conf/icassp/ZolfaghariEJGT17
fatcat:dnvprr7mdra2hgp7ckxaeq2wfa
Maize Germplasm Characterization Using Principal Component and Cluster Analysis
2021
American Journal of BioScience
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The principal component analysis indicated that the first principal component (PC1) had an eigenvalue of 4.4 and reflects 48.85% of the total variation, this represents the equivalent of two individual ...
The characters used for analysis were days to flowering, plant height, ear height, ear per plant, days to maturity, ear length, kernel rows per ear, a thousand grain weight and yield per plot. ...
4 . 4 The principal component of traits used for cluster analysis. ...
doi:10.11648/j.ajbio.20210904.12
fatcat:arqvexqndvd5fcp4d7thcefuay
The Cluster and Principal Component Analyses of Maize Landraces of Manipur, India
2019
International Journal of Agricultural Science and Research
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Three broad clusters were formed in the dendogram produced by the morphological data. The principal component analysis of 28 morphological traits accounted for 80.47% of the total variation. ...
The first principal component explained the highest 26.44% of the total variation. ...
ACKNOWLEDGEMENTS We would like to thank all the farmers from various districts of Manipur for providing the seeds of maize landraces without which there was no means to conduct the present experiment. ...
doi:10.24247/ijasraug201921
fatcat:znarxnxk7bhbdd6mgrb7pryvuu
Estimation of Genetic Diversity in Seven Races of Native Maize from the Highlands of Mexico
2020
Agronomy
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Principal component analysis separated the different accessions into well-defined groups using first three principal components. ...
Seven maize races of the central high plateau of Mexico were characterized using a combined analysis of 13 morphological traits and 31 microsatellite loci. ...
Regarding the principal component analysis of the combined dataset (frequencies of 211 SSR alleles and 13 morphological traits), the first 20 principal components explained 55.1% of the variance. ...
doi:10.3390/agronomy10020309
fatcat:4pwdo4wkvzbixhyknwhrgwpf2y
Analysis of Morphological Characteristics Among Popcorn Inbred Lines
튀김옥수수 자식계통들에 대한 형태적 특성
2013
Korean Journal of Crop Science
튀김옥수수 자식계통들에 대한 형태적 특성
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On the principal component analysis, silk color (QL2), ear length (QN3), kernel setting length (QN4), ear thickness (QN5), ear weight (QN7), kernel weight (QN8) and 100 kernel weight (QN9) greatly contributed ...
(QN3), ear row number (QN6) and 100 kernel weight (QN9) contributed in negative direction on the second principal component. ...
On the principal component analysis, silk color (QL2), ear length (QN3), kernel setting length (QN4), ear thickness (QN5), ear weight (QN7), kernel weight (QN8) and 100 kernel weight (QN9) greatly contributed ...
doi:10.7740/kjcs.2013.58.3.267
fatcat:oudwnrtoorazvirfagegbaz5oy
Genetic diversity in maize dent landraces assessed by morphological and molecular markers
2013
Genetika
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Cluster analysis of morphological and SSR markers distances did not exhibited the same grouping of accessions. ...
Applied marker systems revealed high level of genetic heterogenity beetween landraces. Cluster analysis of the tested genotypes was based on average values of eighteen observed phenotypic traits. ...
ACKNOWLEDGEMENTS This work was supported by the Ministry of Education, Science and Technological Development of Republic of Serbia, through the project TR31028 "Exploitation of maize diversity to improve ...
doi:10.2298/gensr1303811r
fatcat:2nz4go74tjgrro5vjg7trxt2ua
Classification of French maize populations based on morphological traits
1997
Agronomie
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The most important variables in the principal component (PC) axis were related to maturity traits, and ear and grain shapes. ...
On the first plane of the PC analysis, the distribution of populations was continuous, and populations from some particular regions were found grouped together: Pyrenees (early material and conical ears ...
Principal components analysis
Distribution of variables The first four principal components (PC) accounted for 77% of the total variance (table IV). ...
doi:10.1051/agro:19970906
fatcat:jdriirwoyvbrfmbgmevr6dp3iu
Variation in Agro-morphological Traits of Some Turkish Local Pop, Flint and Dent Maize (Zea mays L.)
2019
Notulae Scientia Biologicae
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Eight agronomic and morphologic traits (ear length, ear kernel row number, ear height, leaf number, 1000 kernel weight, tassel length, leaf width and leaf length) were analysed by ANOVA and principal component ...
Multivariate discriminant function analysis with eight traits revealed that first two of multivariate correlation covered 86.6%, and next 69% of total variation among accessions and the first multivariate ...
and morphologic traits by principal component analysis. ...
doi:10.15835/nsb11110407
fatcat:j7rb2vuajrcqzpxvv4ok5qvdiy
Analysis of genetic diversity among the maize inbred lines (Zea mays L.) under heat stress condition
2018
Journal of Maize Research and Development
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Analysis of variance showed significant difference for all the traits. Result of multivariable analysis revealed that twenty inbred lines formed four clusters. ...
, ear per plant, cob length and diameter, number of kernel/ear, number of kernel row/ear, number of kernel row, silk receptivity, shelling percentage, thousand kernel weight and grain yield in alpha lattice ...
ACKNOWLEDGEMENTS The authors would to thank to National Maize Research Program, Rampur, Chitwan, Nepal for the provision of reseach support.
AUTHOR CONTRIBUTIONS ...
doi:10.3126/jmrd.v3i1.18925
fatcat:zgm6vtljsffvrhsu4okhadib2q
Characterization of Selected Maize Inbred Lines Adapted to Highland Agro-Ecologies of Ethiopia Using Morphological and Molecular Genetic Distances
2019
Advances in Crop Science and Technology
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The objectives of this study were to characterize elite maize inbred lines adapted to highland agro-ecologies and classify groups of similar inbred lines by means of cluster and principal component analysis ...
The PCA indicated that the first nine principal components (PCs) with eigen value greater than unity accounted for 83% of the entire diversity among 23 inbred lines for all traits. ...
the scholarship of MSc for the first author, through the Nutritious Maize for Ethiopia (NuME) project. ...
doi:10.4172/2329-8863.1000421
fatcat:saqrkcrkznblxbad5j2gggbvma
Maize landraces as a source of adaptation to climatic change
2016
Ratarstvo i Povrtarstvo
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Obtained data, together with the results from dry 2012, were plotted for principal component analysis. ...
Predictions of global warming point out that frequency and severity of temperature and rainfall extremes are expected to increase in the following decades. ...
), KW (kernel weight), EL (ear length) and NKR (number of kernels per row)
Figure 4 . 4 Principal component analysis of maize landraces based on morphological traits and yield components in different ...
doi:10.5937/ratpov53-9138
fatcat:vps2kyhztjddreobwsu6hjov6m
Large scale molecular analysis of traditional European maize populations. Relationships with morphological variation
2001
Heredity
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The morphological analysis of 19 variables revealed a signi®cant variability. ...
This study opens new prospects concerning the molecular analysis of very large collections of genetic resources, hitherto limited by the necessity of individual analyses, and proposes a ®rst molecular ...
We are grateful to Pierre Dubreuil for his critical reading of the manuscript. ...
doi:10.1046/j.1365-2540.2001.00869.x
pmid:11554974
fatcat:hv2gn3vyvbenpeuep4jqyc3spe
Generating a morphable model of ears
2016
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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In order to extract orthonormal basis vectors from this data, we apply a kernel-based principal component analysis (K-PCA). ...
Ear # 1 2 3 4 5 0 0.2 0.4 0.6 0.8 1 • Influence of the number of principal components on ear shape reconstruction accuracy: Note: colors indicate local shape mismatch Number of Principal Components 10 ...
In order to extract orthonormal basis vectors from this data, we apply a kernel-based principal component analysis (K-PCA). ...
doi:10.1109/icassp.2016.7471981
dblp:conf/icassp/ZolfaghariEJGT16
fatcat:zupvxqurmjaxddpnetg44kivgm
Genetic Diversity Based on Morphological Traits of 19 Maize Genotypes Using Principal Component Analysis and GT Biplot
2020
Annual Research & Review in Biology
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stressed and non-stressed conditions, using morphological data based on Principle Component Analysis (PCA), (ii) to measure the genetic distance among these genotypes using UPGMA cluster analysis and ( ...
Results of the GT biplot in the present study indicated that high values of 100-Kernel weight, ears/plant, kernels/plant, kernels/row, plant height, nitrogen use efficiency, nitrogen utilization efficiency ...
Principal component analyses of morphological traits (Table 6) found that the first principal component, which explained 32.39% of the total variability among genotypes, contrasted grain protein, grain ...
doi:10.9734/arrb/2020/v35i230191
fatcat:oaj4jq34k5afddbvm6bkacyuta
Genotyping by Sequencing Reveals Genetic Relatedness of Southwestern U.S. Blue Maize Landraces
2021
International Journal of Molecular Sciences
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Principal component analysis and tGBS showed that Corn Belt variety 'Ohio Blue' was distinctly different from southwestern landraces. ...
Blue maize is an important component of the diverse landraces still cultivated in the region but the degree to which they are related is unknown. ...
Hao Tong of Center of Plant Systems Biology and Biotechnology (CPSBB) for his generous assistance in guiding us through the structure analysis and we would also like to acknowledge the support of CPSBB ...
doi:10.3390/ijms22073436
pmid:33810494
pmcid:PMC8037273
fatcat:kzdsprlhgff2hlu47e7r4si5w4
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